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Difference of submodular minimization via DC programming

ICML 2023 · Learning theory and algorithms › Submodular and game algorithms · approach: Monotone submodular maximization · 1 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use DCA, DCAR, CDCA, or CDCAR instead of the other DS-minimization baselinesSpeech corpus selection and feature selection · Speech corpus selectionF objectiveHelped
Use DCA, DCAR, CDCA, or CDCAR instead of the other DS-minimization baselinesSpeech corpus selection and feature selection · Mushroom feature selectionF objectiveHelped
Use PGM instead of the best proposed variantsDS minimization · Speech corpus selectionF objectiveNo clear effect
Use PGM instead of the best proposed variantsDS minimization · Feature selectionF objectiveHurt
Use the complete variant (CDCA or CDCAR) instead of its simple counterpart (DCA or DCAR) (ablation)DCA and DCAR · Speech corpus selectionF objectiveHelped
Use the complete variant (CDCA or CDCAR) instead of its simple counterpart (DCA or DCAR) (ablation)DCA and DCAR · Mushroom feature selectionF objectiveMixed
Use the complete variant (CDCA or CDCAR) instead of its simple counterpart (DCA or DCAR) (ablation)DCA and DCAR · Speech corpus selection and mushroom feature selectioncontinuous Lovász objectiveHurt
Round the iterate at every step and use the rounded iterate in the next update (ablation)CDCA · Speech corpus selection and mushroom feature selectionF objectiveHelped
Round the iterate at every step and use the rounded iterate in the next update (ablation)CDCA · Speech corpus selection and mushroom feature selectionconvergence speedMixed
Round the iterate at every step and use the rounded iterate in the next update (ablation)DCA · Speech corpus selection and mushroom feature selectionF objectiveHurt
Add non-zero regularization (ablation)DCA, DCAR, CDCA, and CDCAR · Speech corpus selection and mushroom feature selectionF objectiveHelped
Add acceleration (ablation)DCA and DCAR · Speech corpus selection and mushroom feature selectionF objectiveMixed

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